Why DCT?
DCT doesn't replace the methods enterprises already run. It poses the decision they leave open, and uses them as instruments.
DCT sits above the methods you already use; it does not replace them.
Adapted from the DCT Helix white paper, “Methods you already use”
The methods you already use
| Approach | What it does well | What it leaves open | What DCT adds |
|---|---|---|---|
| Traditional strategic planning | Sets direction, positions the firm, aligns leaders | No state and no dynamics, so no counterfactual path; plans are single numbers | A state, a law of motion and a criterion, so options are compared as paths |
| Balanced Scorecard and strategy maps | Links strategy to measures across perspectives | Measures are not a state; fixed weights recover only the convex part of the trade-off frontier | Measurement as a map from state to outcome; full frontiers; measures designed with Goodhart in mind |
| Enterprise architecture (TOGAF, Zachman) | A complete, owned description of the enterprise and a path from vision to migration | How the state moves, at what cost and risk; when each platform should land | Dynamics, coupling and sequencing on top of the architecture |
| Change management (Kotter, ADKAR) | Leads people through change; sponsorship and adoption | Sequencing across departments; the finite capacity to absorb change | Change capacity as a constraint; the Helix's change budget |
| System dynamics | Feedback loops, stocks and flows, delays; simulation of policies | It answers “what if”, not “what best”, and rarely certifies feasibility | The same feedback view, plus an objective, admissible controls, viability and certificates |
| Operations research and optimization | Optimal answers to well-posed problems, with certified bounds | The enterprise-wide formulation across finance, organization and risk | One enterprise problem, the GEOP, from which specific instances are drawn and solved |
| Digital twins | Keep a model in step with live operations | Which decisions the twin may take, and how a stale twin misleads | The twin as filter and model-predictive control inside an autonomy envelope, with drift detection |
| Digital transformation programmes | Modernize platforms, data and channels | Technology installed ahead of process and data readiness forces rework | Technology as a rung, sequenced to the departments it serves; its coupling with workforce capability |
| Conventional consulting programmes | Diagnosis, mobilization, delivery capacity, experience | A single-number business case; success declared at go-live; readiness judged by averages | Plans as distributions with an agreed floor; benefits banked; weakest-link readiness; certificates a board can audit |
Traditional strategic planning
- What it does well
- Sets direction, positions the firm, aligns leaders
- What it leaves open
- No state and no dynamics, so no counterfactual path; plans are single numbers
- What DCT adds
- A state, a law of motion and a criterion, so options are compared as paths
Balanced Scorecard and strategy maps
- What it does well
- Links strategy to measures across perspectives
- What it leaves open
- Measures are not a state; fixed weights recover only the convex part of the trade-off frontier
- What DCT adds
- Measurement as a map from state to outcome; full frontiers; measures designed with Goodhart in mind
Enterprise architecture (TOGAF, Zachman)
- What it does well
- A complete, owned description of the enterprise and a path from vision to migration
- What it leaves open
- How the state moves, at what cost and risk; when each platform should land
- What DCT adds
- Dynamics, coupling and sequencing on top of the architecture
Change management (Kotter, ADKAR)
- What it does well
- Leads people through change; sponsorship and adoption
- What it leaves open
- Sequencing across departments; the finite capacity to absorb change
- What DCT adds
- Change capacity as a constraint; the Helix's change budget
System dynamics
- What it does well
- Feedback loops, stocks and flows, delays; simulation of policies
- What it leaves open
- It answers “what if”, not “what best”, and rarely certifies feasibility
- What DCT adds
- The same feedback view, plus an objective, admissible controls, viability and certificates
Operations research and optimization
- What it does well
- Optimal answers to well-posed problems, with certified bounds
- What it leaves open
- The enterprise-wide formulation across finance, organization and risk
- What DCT adds
- One enterprise problem, the GEOP, from which specific instances are drawn and solved
Digital twins
- What it does well
- Keep a model in step with live operations
- What it leaves open
- Which decisions the twin may take, and how a stale twin misleads
- What DCT adds
- The twin as filter and model-predictive control inside an autonomy envelope, with drift detection
Digital transformation programmes
- What it does well
- Modernize platforms, data and channels
- What it leaves open
- Technology installed ahead of process and data readiness forces rework
- What DCT adds
- Technology as a rung, sequenced to the departments it serves; its coupling with workforce capability
Conventional consulting programmes
- What it does well
- Diagnosis, mobilization, delivery capacity, experience
- What it leaves open
- A single-number business case; success declared at go-live; readiness judged by averages
- What DCT adds
- Plans as distributions with an agreed floor; benefits banked; weakest-link readiness; certificates a board can audit
The five limits DCT repairs
L1
Fragmentation
Financial, operational, strategic and architectural analyses share no vocabulary.
Repair: One state
L2
Snapshots
No path between before and after, so no counterfactual.
Repair: Dynamics
L3
One-number summaries
Enterprises in genuinely different positions are declared identical.
Repair: A criterion on the whole path
L4
No state
Nothing whose motion could be studied.
Repair: The enterprise state
L5
No well-posed problem
“Better” is undefined.
Repair: The GEOP
map.json, node f-limitations (L1–L5)

